The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

Other vision problems besides basic image classification that have been solved with deep learning include image classification with localization, object detection, object segmentation, image style ...

Deep Learning algorithms. The recent increased interest in Deep Learning is largely due to the availability of graphical processing units: ... resolution and image quality. Once enough images are ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

Canon has developed new deep learning algorithms that can correct all known image defects. In a new paper, released in Japanese on Canon's global website, the company has unveiled a new deep learning ...

This means that a deep learning image recognition algorithm fed a library of dog photographs taken exclusively in dog parks and cat photographs taken exclusively in living rooms will naturally ...

The US Food and Drug Administration (FDA) has granted 510(k) clearance to DeepEcho’s foetal ultrasound analysis platform.